A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric ...

Conventional silicon architecture has taken computer vision a long way, but Purdue University researchers are developing an alternative path — taking a cue from nature — that they say is the ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Researchers at the University of Cambridge and Meta Reality Labs have, for the first tim,e mapped the resolution limits of ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...

We are in the middle of a huge boom in artificial intelligence (AI), with unprecedented investment in research, a supercharged pace of innovation and sky-high expectations. But what is driving this ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. At one time or another, every business owner has wished they could have spotted an issue ...

That work led to the Multisensory Correlation Detector (MCD), which could imitate human responses to simple audiovisual ...